Mapping HIV prevalence using population and antenatal sentinel-based HIV surveys: a multi-stage approach

Conclusions: Inverse Probability Weighting combined with an appropriate HIV prediction model can be a useful tool to correct for non-response to HIV testing, especially if the number of tested individuals is very minimal at subnational levels. In populations where most know their HIV status, population-based HIV prevalence estimates can be heavily biased. High-coverage antenatal clinics’ surveillance HIV data would then be the only important HIV data information sources.
Source: Population Health Metrics - Category: Epidemiology Authors: Source Type: research